SLR: Amalgamation (summed) logratio

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/SLR.r

Description

Computation of a single amalgamation (summed) logratio

Usage

1
SLR(data, numer=NA, denom=NA, weight=TRUE)

Arguments

data

A compositional data frame or matrix

numer

Vector of parts in the numerator

denom

Vector of parts in the denominator

weight

Logical indicating if a varying weight is returned (default:TRUE). If FALSE, a weight based on equally-weighted parts is returned. Alternatively a positive weight can be specified.

Details

The function SLR computes a single amalgamation logratio based on the specified numerator and denominator parts that define the two summations in the ratio.

Value

LR

The amalgamation (summed)) logratio (SLR)

LR.wt

The weight assigned to the SLR

Author(s)

Michael Greenacre

References

Aitchison, J. (1986), The Statistical Analysis of Compositional Data, Chapman & Hall.
Greenacre, M. (2018), Compositional Data Analysis in Practice, Chapman & Hall / CRC Press.

See Also

ILR, ALR, CLR, PLR, LR

Examples

1
2
data(veg)
SLR(veg, numer=1, denom=2:3)

Example output

Loading required package: ca
Loading required package: vegan
Loading required package: permute
Loading required package: lattice
This is vegan 2.5-7
Loading required package: ellipse

Attaching package:ellipseThe following object is masked frompackage:graphics:

    pairs

$LR
       Asparagus      Beans(soya)         Broccoli          Carrots 
     -0.59015191      -0.32072118      -0.05241199      -2.35713896 
            Corn        Mushrooms           Onions             Peas 
     -2.05846331      -1.60130000      -2.14926421      -1.00785419 
Potatoes(boiled)          Spinach 
     -2.46428736      -0.34045070 

$LR.wt
[1] 0.1873699

easyCODA documentation built on Sept. 20, 2020, 1:07 a.m.